This course is designed to give the liberal arts student, as well as other interested students, an introduction to some mathematical topics which broadly reflect the nature of the discipline. Topics are selected to highlight mathematical problem solving, the use of mathematical models and/or analysis of quantitative data. Topics may include probability and descriptive statistics, voting theory, graph theory, cryptography, game theory, chaos, and problems relating to the environment. Classroom lectures and discussions cover the basic theories. These are followed by writing assignments which form an essential component of the course. Not open to math majors without the permission of the Department Chairperson. Three lecture hours per week. This course satisfies the Quantitative Reasoning category. Not open to those students who received credit for MAT 120.

Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course will include sets, real numbers, inequalities, the straight line, functions, operations on matrices, systems of equations, inverse of a matrix, linear programming, the Simplex method, counting, permutations and combinations, sample spaces, and probability. Three lecture hours per week.

Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course is intended to prepare the student for the study of Calculus. Topics include: properties of the real number systems; absolute values, inequalities; detailed study of linear and quadratic equations; polynomial and rational functions and their graphs; exponential, logarithmic, and trigonometric functions. Three lecture hours per week. Not open to those students who received credit for MAT202N.

Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course is designed to give the liberal arts student, as well as other interested students, an introduction to some mathematical topics which broadly reflect the nature of the discipline. Topics are selected to highlight mathematical problem solving, the use of mathematical models and/or analysis of quantitative data. Topics may include probability and descriptive statistics, voting theory, graph theory, cryptography, game theory, chaos, and problems relating to the environment. Classroom lectures and discussions cover the basic theories. These are followed by writing assignments which form an essential component of the course. Not open to math majors without the permission of the Department Chairperson. Three lecture hours per week. This course satisfies the Quantitative Reasoning category.

Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course is the first in a sequence designed for prospective elementary teachers. Topics include numeration systems, algorithms and estimation for the arithmetic operations, number theory, patterns, and properties of basic functions. Use of manipulatives and relevant technology may be integrated into the course. Three lecture hours per week. Not open to students who have received credit for MAT123A.

Prerequisite: Satisfaction of the Basic Mathematics Competency Requirement.

Credits: 3.00

This course is a continuation of Mathematics for Elementary Teachers I. Topics will include geometric figures and solids, congruence, similarity, constructions, measurement including perimeter, area, surface area and volume, geometric transformations, descriptive statistics and basic probability theory. Use of manipulatives and relevant technology may be integrated into the course. Not open to students who have received credit for MAT223A. Three lecture hours per week.

Prerequisite: Satisfaction of the Basic Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course is an introduction to the mathematics used in business. Topics may include graphing linear equations and inequalities, solving systems of linear equations and inequalities, linear programming, simple and compound interest, annuities, descriptive statistics, and rates of change. Three lecture hours per week. Not open to student who have received credit for MAT 108.

Prerequisite: Satisfaction of the Basic Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course is an introduction to elementary data analysis. Topics will include descriptive statistics. Normal distributions, sampling, interval estimation, testing of hypotheses, and linear regression. The emphasis is on practical and usable results, rather than on mathematical derivations. This course is intended to prepare students to use statistics in business, nursing, the social sciences, or education. Offered each semester. Three lecture hours per week. Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

This course is intended to prepare the student for the study of Calculus. Topics include: properties of the real number systems; absolute values, inequalities; detailed study of linear and quadratic equations; polynomial and rational functions and their graphs; exponential, logarithmic, and trigonometric functions. Three lecture hours per week. Not open to those students who received credit for MAT202N or MAT110.

Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

Introduction to calculus as applied to business. Differentiation, integration, and their applications are considered in conjunction with polynomial, algebraic, exponential, and logarithmic functions. Three lecture hours per week. Prerequisite: Completion of the Basic College Mathematics Competency Requirement.

Credits: 3.00

A study of discrete mathematical structures of interest in computer science and other applied fields. Topics will be chosen from logic, proof techniques, sets, boolean algebra, functions, relations, basics of counting, recursion, graphs, trees, and discrete probability. Four lecture hours per week. Not open to students who have received credit for either MAT214 or MAT314.

Prerequisite: MAT210 or MAT220.

Credits: 4.00

An introduction to a computer algebra system. Topics include the application of a computer algebra system to plotting functions, solving equations, simplifying expressions, and the creation of clear and attractive mathematical reports. One lecture hour per week.

Prerequisite: MAT220.

Credits: 1.00

An introduction to the differential calculus of real-valued functions of one real variable. Topics include limits and derivatives and their applications in a context that includes polynomial, rational, trigonometric, exponential, and logarithmic functions. Offered each semester. Four lecture hours per week. Required of all Mathematics majors.

Prerequisites: Completion of the Basic College Mathematics Competency Requirement and either MAT110 or a thorough knowledge of trigonometric and logarithmic functions.

Credits: 4.00

This course fulfills these general education curriculum requirements: Quantitative Reasoning

An introduction to the integral calculus of real-valued functions of one real variable. Topics include infinite sequences and series of real numbers and integrals and their applications in a context that includes polynomial, rational, trigonometric, exponential, and logarithmic functions. Offered each semester. Four lecture hours per week. Required of all mathematics majors.

Prerequisite: MAT220.

Credits: 4.00

This course is an introduction to mathematical proof and the fundamental notions of higher mathematics. Topics include the basics of propositional logic, set theory, number theory, mathematical induction, functions, equivalence relations, and cardinality with an emphasis on writing proofs. Three lecture hours per week.

Prerequisites: MAT220 and a W-I course.

Credits: 3.00

This course fulfills these general education curriculum requirements: Written Communication-Level II

This course is an introduction to vector spaces and linear transformations primarily in Euclidean spaces. Topics include the algebra of matrices, linear independence, determinants, eigenvalues, and eigenvectors. Three lecture hours per week. Required of all mathematics majors.

Prerequisite: MAT220.

Credits: 3.00

This course is a proof-oriented introduction to groups. Topics will include examples and elementary properties of groups, subgroups, cyclic groups, symmetry groups, group isomorphisms and homomorphisms, normal subgroups and quotient groups, and direct products of groups. Three lecture hours per week. Not open to students who have received credit for MAT303.

Prerequisites: MAT234.

Credits: 3.00

This course is an introduction to vector spaces and linear transformations primarily in Euclidean spaces. Topics include the algebra of matrices, linear independence, determinants, eigenvalues, and eigenvectors. Three lecture hours per week. Required of all mathematics majors.

Prerequisite: MAT220.

Credits: 3.00

This course is a study of the arithmetic properties of numbers. Topics will included divisibility, prime numbers, congruences, Diophantine equations, number-theoretic functions, primitive roots and indices, and quadratic residues. Three lecture hours per week.

Prerequisite: MAT303A.

Credits: 3.00

This course is a survey of combinatorial methods. Topics may include graphs, trees, networks, permutations and combinations, partitions, and enumeration theory. Three lecture hours per week.

Prerequisite: MAT234.

Credits: 3.00

An introduction to two and three dimensional analytic geometry and an extension of the ideas of calculus to both real-valued functions of several variables and vector-valued functions. Topics include polar, cylindrical and spherical coordinates, vectors in two and three dimensions, limits, derivatives and integrals of functions of several variables and vector-valued functions. Offered each fall. Four lecture hours per week. Required of all mathematics majors.

Prerequisite: MAT221.

Credits: 4.00

A study of numerical methods. Topics include root finding for nonlinear equations, polynomial interpolation, series methods, numerical integration, finite differences, and solutions of linear systems. Efficiency, accuracy and round off and truncation errors are considered. Computer implementation of selected methods is included. Three lecture hours per week.

Prerequisite: MAT221.

Credits: 3.00

This course is a study of topics in advanced geometry from three perspectives: synthetic, analytic, and transformational. Topics include advanced results in Euclidean geometry, axiomatic development of Euclidean and non-Euclidean and non-Euclidean geometries, the use of coordinates, transformations, and symmetries. Writing, primarily in the form of mathematical proof, is an essential component of the course. Three lecture hours per week. Required of all Mathematics majors with a Secondary Education minor. Not open to students who have received credit for MAT405.

Prerequisite: MAT234 and MAT304A.

Credits: 3.00

This course is an introduction to probability models and random variables. Topics may include simple counting methods, expectation, variance, moment and moment generating functions, the binomial, Poisson, exponential, and Normal distributions. Three lecture hours per week. Required of all Mathematics majors with a Secondary Education minor.

Prerequisite: MAT221

Credits: 3.00

This course is a study of functions of a complex variable. Topics may include Cauchy-Riemann equations, Cauchy's integral theorem and formula, the calculus of residues, series expansions of analytic functions, singularities, and contour integration. Three lecture hours per week.

Prerequisite: MAT221 or MAT234.

Credits: 3.00

This course is a rigorous study of the fundamental ideas of calculus. Topics may include sequences, limits, continuity, derivatives, and integrals. Three lecture hours per week. Required of all mathematics majors.

Prerequisite: MAT221 and MAT234

Credits: 3.00

This course is a study of the methods of solving linear and elementary nonlinear ordinary differential equations. Topics may include variation of parameters, series solutions, Laplace transforms and applications. Three lecture hours per week.

Prerequisite: MAT304A.

Credits: 3.00

This course is a continuation of Linear Algebra I. Topics include diagonalization, similarity, orthogonality, quadradic forms, inner products, and the singular value decomposition. Applications of these topics will be highlighted. Three lecture hours per week.

Prerequisite: MAT304A., MAT240

Credits: 3.00

This course is an introduction to statistical inference. Topics may include sampling distributions, limit theorems, point and interval estimation, hypothesis testing, linear regression and correlation, analysis of variance, and nonparametric methods. Three lecture hours per week. Prerequisite: MAT 407

Credits: 3.00

This course is a study of field mathematics chosen by the instructor that is not covered in detail in other courses in the Mathematics Department. Topics chosen are determined by mathematical relevance and the perceived value that would be added to the mathematics curriculum.

Prerequisite: MAT221 and MAT234.

Credits: 3.00

This course is a culminating experience for the mathematics major. Students will read mathematics journal articles, work problems and prove theorems derived from those articles, study topics independently, give oral presentations and write a mathematical paper. The paper may be expository or original in nature and students will hand in several drafts and make necessary revisions before the final product is completed. In the process, students will need to review and apply skills learned in previous courses as well as independently study new concepts. Students will be exposed to the "nuts and bolts" of doing mathematical research along the way, including using common databases for finding papers and typesetting a paper properly. Three lecture hours per week. Required of all mathematics majors.

Prerequisites: Successful completion of the calculus sequence (MAT220, MAT221 and MAT320) MAT240, a WII course; MAT411 or MAT303A.; and permission of the Mathematics Department Chairperson.

Credits: 3.00

This course fulfills these general education curriculum requirements: Written Commun-Level III

The purpose of this course is to provide the student with an opportunity to explore in depth an area of mathematics that would not ordinarily be encountered in the program of required courses. It is recommended that the student take as many of the required courses as possible before enrolling in Directed Study. Credit for this course may not be applied toward Major requirements.

Prerequisites: At least one 400 level math course (with a grade of C or above), Junior or Senior standing, agreement of a Department faculty member to act as supervisor and permission of Mathematics Department Chairperson.

Credits: 3.00

Suggested topics are: Definition of vectors and transformation equations, general Cartesian co-ordinates; vector and scalar products, geometry of space curves; introduction to differential forms and tensors.

Credits: 3.00

This course will allow the student to find and study models of accomplished researchers on the teaching of Mathematics at the secondary level. The course will examine necessary concepts in research validity; data gathering; instrumentation selection and construction; validation and reliability determinations; sampling techniques; and, research designing. Further, the course will review the application of statistical models salient to designs utilized in conducting research which requires the testing of hypotheses that have been generated from problems in secondary Mathematics. Open only to MAT and M.Ed. candidates for degree credit.

Prerequisites: Completed course in statistics and completion of the Measurement and Evaluation standard.

Credits: 3.00

Topics include modules, linear dependence, matrix algebra, linear transformations, determinants, eigenvalues, linear systems, inner products, classical groups, diagonalization, symmetric matrices, function spaces, and differential operators.

Prerequisites: 6 hours of calculus and 3 hours of linear algebra.

Credits: 3.00

Suggested topics are: properties of divisibility, linear congruences; quadratic congruences; prime numbers, continued fractions; number-theoretic functions; primitive roots and quadratic residues.

Prerequisite: Permission of the Department Chairperson.

Credits: 3.00

A calculus-based study of probability and statistics. Topics include probability models, discrete and continuous random variables and their distributions, bivariate and multivariate distributions, sampling distributions, limit theorems, point and interval estimation, theory and applications of hypothesis testing, linear regression and correlation.

Prerequisite: 12 hours of calculus.

Credits: 3.00

An introduction to cryptography - the study of methods of sending messages in disguised form, including some recent applications of number theory and group theory to public key cryptography. Topics include elementary number theory, finite fields, group theory, cryptosystems, and public key cryptography.

Prerequisite: Mathematical maturity as demonstrated by any one of the following - at least 12 credits of undergraduate or graduate math courses, or a score of 700 or higher on the math SAT or GRE.

Credits: 3.00

Complex numbers, analytic functions, derivatives and integrals of complex functions, Cauchy integral theorem and formula, Taylor and Laurent series, residues, maximum principles, conformal mapping, families of analytic functions and analytic continuation.

Prerequisite: Real Analysis I or the equivalent.

Credits: 3.00

Suggested topics are: propositional and predicate calculi, consistency and completeness of axiom systems, Godel's theorem, axiomatic set theory, cardinal and ordinal numbers.

Credits: 3.00

Completeness, limits, continuity, convergence of sequences and series, derivatives, the Riemann integral, and theorems of Taylor, Bolzano-Weierstrass, and Heine-Borel together with applications.

Prerequisite: 12 hours of calculus or the equivalent.

Credits: 3.00

Suggested topics are solutions of linear differential equations and systems of equations. Bessel and Legendre functions, Laplace transforms, series solutions, Sturm-Liouville theory, stability theory and singular points.

Prerequisites: 9 hours of calculus.

Credits: 3.00

Suggested topics are least-square polynomial approximation, numerical integration, rootfinding, numerical solution of differential equations, direct and iterative methods in matrix theory, analysis of numerical stability.

Prerequisite: Ordinary Differential Equations.

Credits: 3.00

A study of the geometry of fractal sets, self-similarity and fractal dimension. Suggested topics are: Iteration using the computer, graphical analysis, the Julia and Mandelbrot sets, chaos and applications to image compression, to dynamical systems and to computing the limiting perimeter and area enclosed by fractal sets.

Prerequisite: Acceptance into either the Master of Science in Mathematics, Master of Arts in Teaching Mathematics or the Master of Science in Geo-Information Science program or permission of the Mathematics Graduate program Coordinator.

Credits: 3.00

Suggested topics are, metric spaces, topological spaces, abstract measure, outer measure, absolute continuity, measure spaces, measurable functions, Lebesgue-Stieltjes integration, product measure, Caratheodory outer measure, L-spaces, the Radon-Nikodym theorem.

Prerequisite: Real Analysis I or the equivalent.

Credits: 3.00

Suggested topics are: canonical forms for matrices and linear transformations, quadratic forms, principal axis theorem, tensor products, exterior and symmetric algebras.

Prerequisite: Linear Algebra.

Credits: 3.00

The objective of this course is to teach students to design, solve, and apply operations research models to the analysis of systems problems in industry, business, or government. Suggested topics are linear programming, network analysis, dynamic programming, integer programming, nonlinear programming, queueing theory and inventory.

Prerequisite: 6 hours of calculus.

Credits: 3.00

The FORTRAN language is introduced and used to illustrate computer methods in Calculus, Number Theory, Algebra, Statistics and Economics. Attention is paid to machine accuracy, error estimation and multiple-precision arithmetic. Assignments include the coding and running of programs in the Computer Laboratory. No previous computer experience required.

Credits: 3.00

A study of probability and statistical inference. Suggested topics are: Probability, discrete and continuous probability distributions, sampling distribution theory, confidence intervals, tests of statistical hypotheses, linear regression, and a nonparametric method: the Kolmogorov-Smirnov Goodness-of-Fit Test; applications to spatial statistics. The emphasis of the course is on applications and conceptual understanding, rather than on mathematical derivations.

Prerequisites: Acceptance into either the Master of Science in Mathematics, Master of Arts in Teaching Mathematics or the Master of Science in Geo-Information Science program or permission of the Mathematics Graduate Program Coordinator.

Credits: 3.00

A survey course designed to deepen the student's knowledge of the vast literature of mathematics. Historically influential concepts will be examined for their effects on mathematics and the culture in which they evolved. Philosophical and psychological comparisons will be made between the mathematical and scientific developments in Ancient Greek times, in the Renaissance and Newtonian times, and in the 19th and 20th centuries.

Prerequisites: 9 hours of Calculus.

Credits: 3.00

A continuation of MAT707. Suggested topics are multiple regression, analysis of variance, decision functions, Bayes solutions, and nonparametric methods.

Prerequisite: Mathematical Statistics.

Credits: 3.00

Suggested topics are: wave equations, elliptic and parabolic equations; Fourier series; Sturm-Liouville theory and general Fourier expansions; eigenvalue expansions and Bessel functions.

Prerequisite: Ordinary Differential Equations.

Credits: 3.00

This course is intended to develop those ideas, computational techniques, and methods of reasoning used in college mathematics, with an emphasis on algebra needed to formulate and solve first and second degree equations, constructing models using linear and quadratic functions, and concepts of coordinate geometry. Only for students entering Fall 1999 or later who have not passed either the Accuplacer Elementary Algebra Test or the College Level Math Test or for those students who entered before Fall 1999 who have not satisfied the Basic Mathematics Competency Requirement. Does not give degree credit. Three lecture hours per week.

Credits: 3.00

Open only to students seeking the degree of Master of Science.

Credits: 3.00